Automatic initial estimation of the left ventricular myocardial midwall in emission tomograms using Kohonen maps

Author

Manhaeghe, Carlos ; Lemahieu, I. ; Vogelaers, D. ; Colardyn, Francis

Author_Institution

Dept. of Electron. & Inf. Syst., Ghent Univ., Belgium

Volume

16

Issue

3

fYear

1994

fDate

3/1/1994 12:00:00 AM

Firstpage

259

Lastpage

266

Abstract

A new method to make an automatic initial estimation of the position of the middle of the left ventricular (LV) myocardial wall (LV myocardial midwall) in emission tomograms is presented. This method eliminates the manual interaction still required by other, more accurate LV delineation algorithms, and which consists of indicating the LV long axis and/or the LV extremities. A well-known algorithm from the world of neural networks, Kohonen´s self-organizing maps, was adapted to use general shapes and to behave well for data with large background noise

Keywords

cardiology; computerised tomography; medical image processing; muscle; radioisotope scanning and imaging; self-organising feature maps; Kohonen maps; Kohonen´s self-organizing maps; automatic initial estimation; emission tomograms; left ventricular myocardial midwall; neural networks; Background noise; Cost function; Ellipsoids; Extremities; Heart; Myocardium; Neural networks; Self organizing feature maps; Shape; Tomography;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.276125

Filename

276125